Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatically identifying and quantitatively detecting method for high alkalinity sintered ore main minerals

A technology for automatic identification and sintering of ore, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as uncertainty of crystal structure parameters of solid solution minerals.

Inactive Publication Date: 2010-06-09
UNIV OF SCI & TECH BEIJING
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention is an automatic identification and quantification method for the main minerals of high-basic sintered ore, which solves the problems of peak selection randomness and crystal preferred orientation in previous X-ray diffraction quantification by adopting segmental optimal fitting, and establishes high-basic sintered ore The main mineral standard diffraction curve database in the country can solve the problem of uncertainty in the crystal structure parameters of solid solution minerals, so that the mineral types and mineral compositions in high-basic sinter can be determined more accurately and quickly

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatically identifying and quantitatively detecting method for high alkalinity sintered ore main minerals
  • Automatically identifying and quantitatively detecting method for high alkalinity sintered ore main minerals
  • Automatically identifying and quantitatively detecting method for high alkalinity sintered ore main minerals

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0015] Example 1: The prepared hematite, magnetite and quaternary calcium ferrite (Ca 5 Si 2 Fe 16 al 2 o 36 , simplified into cf(4)) minerals, ground to a particle size of less than 0.050mm, adding 10% TiO 2 As a reference substance, the different proportions are shown in Table 1 and mixed thoroughly. Then, X-ray diffraction was performed on the mixed sample in the range of 15-65° at a scanning speed of 2° / min on an M21X X-ray diffractometer. Open the X-ray diffraction quantitative analysis software, then select qualitative analysis, give the possible mineral types and corresponding error indexes, and the minerals corresponding to each diffraction peak, finally, determine the type of reference material, perform quantitative calculation and give The calculated results show that the absolute error is within ±1.80%.

[0016] Table 1

[0017]

example 2

[0019] The high-alkalinity sintered ore of Baosteel in May 2005 was used for quantitative analysis by X-ray diffraction. Its chemical composition is shown in Table 2. Through peak comparison and diffraction analysis, it can be seen that the minerals in the sintered ore include hematite and magnetite. ore and calcium ferrite. Using this method to carry out mineral quantitative analysis results, the three contents are 54.91%, 19.24% and 25.83% respectively.

[0020] Table 2

[0021]

[0022] The mineral detection of each of the above samples, from the beginning of the diffraction experiment on the X-ray diffractometer to the qualitative and quantitative process on the computer, was completed within 30 minutes.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The automatic main mineral identifying and quantitatively detecting method for high alkalinity sintered ore belongs to the field of metallurgical technology. The method includes four parts of preparing sintered ore sample, X ray diffraction condition for quantitative analysis, standard diffraction curve database of high alkalinity sintered ore minerals, and sectional optimizing fitting and computer software. The method of the present invention makes it possible to identify the minerals in high alkalinity sintered ore and measure the content fast automatically. In addition, the present invention has less sampling error and no visual error.

Description

Technical field: [0001] The invention belongs to the field of iron ore sintering in metallurgy, and is mainly suitable for quantitative analysis of main mineral composition in high-alkalinity sintered ore. technical background: [0002] The mineral composition in sinter, especially the content of binder phase directly affects the strength and metallurgical properties of sinter. Therefore, quantitative analysis of mineral composition in sinter is very necessary to improve sinter ore blending scheme and optimize sintering conditions. However, such quantitative analysis has not yet been introduced into routine production. [0003] In the past, the quantitative analysis of minerals in sinter mainly used the microscopic mineral phase method to estimate the percentage of calcium ferrite minerals in the total area under the microscope. The inhomogeneity of the atmosphere and temperature in the material layer during the sintering process leads to the inhomogeneity of the minerals ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N23/20G06F17/00
Inventor 郭兴敏彭新沈红标薛明升
Owner UNIV OF SCI & TECH BEIJING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com